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Mechanisms oftheVulnerable Atherosclerotic Plaque andImaging
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future major adverse cardiovascular events (MACE) [87, 88]. However, IVUS is not able to detect thin-brous caps (<65μm) due to its inferior spatial resolution [89].
3.8.2 Optical Coherence Tomography (OCT)
Optical coherence tomography (OCT) uses near-infrared light to produce images with a superior spatial resolution of 10–30μm. This allows OCT to measure the brous-cap thickness [90], macrophage density [91], collagen and smooth muscle cells content [92], characterise plaques as brous, brocalcic, and lipid-rich plaques [93], and identify neovessels, cholesterol crystals, ruptures and thrombi [94, 95]. The correspondence between plaque and OCT features can be seen in Table3.3 and Fig.3.7. However, as OCT has a penetration of approximately 1.5mm, it is not able to image the deeper plaque and estimate the size of the necrotic core or identify positive remodeling. Additionally, the OCT rays can be attenuated by blood and so OCT requires a blood-free eld unlike IVUS.It can also be difcult to dif­ferentiate calcied plaques from necrotic core as they both appear as signal poor areas with the only difference being the delineation of their borders (sharply delin­eated borders in calcied plaque, poorly delineated in necrotic core) [96].
Plaque features derived from OCT including OCT-TCFA, and thinner brous cap thickness have been associated with lesions causing acute MI and NSTEMI/ Unstable angina, as opposed to stable angina lesions [97]. OCT derived features including lipid-rich plaque, thin brous cap, TCFA and brous cap macrophage density have been associated with positive remodeling [98].
Table 3.3 Correspondence of plaque features with optical coherence tomography (OCT)
Plaque features on optical coherence tomography (OCT) Plaque features Appearance on OCT
Fibrous plaque Homogenous signal, highly backscattering signal Calcied plaque Signal poor area with sharply delineated borders Fibrocalcic
plaque Fibrous cap Signal-rich area overlying a signal poor area Necrotic core Signal-poor area with poorly delineated borders covered by a brous cap OCT-TCFA Necrotic core with overlying brous cap with thickness <65μm Macrophages Signal-rich punctate regions at border of brous cap and necrotic zone Cholesterol
crystals Red thrombus Lower signal (than white thrombus), <250μm half-width (distance from max
White thrombus Higher signal, >250μm half-width Intimal
vasculature
Tearney, Regar [95], Kume, Akasaka [90]
Fibrous tissue+calcication (both as described above)
Linear regions of high signal intensity
signal intensity to half-signal intensity)
Signal-poor, sharply delineated in multiple contiguous frames
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a
b
c
Fig. 3.7 Optical coherence tomography correlation with histology. (a) Fibrotic plaque shows a high signal and low attenuation. (b) A calcied plaque shows calcied regions (‡) that have a poor signal with sharply delineated borders. (c) The lipid rich plaque has a lipid core () that has a dif­fuse border and high light attenuation. The thickness of the overlying brotic cap can be measured; in this case a thick cap (>200μm) is present. (Reprinted from Bezerra, Costa [111])
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Table 3.4 The strengths and limitations of intravascular ultrasound and optical coherence tomography to image vulnerable plaque features
Intravascular ultrasound and optical coherence tomography for imaging of vulnerable plaque features
Resolution Penetration Strengths Limitations
Intravascular ultrasound
Optical coherence tomography
70–200μm axial 200–400μm lateral
10–30μm 1.5mm
5–10mm
Fibrous tissue,
bro-fatty, calcium dense, necrotic core
Plaque burden
(PAV)
• Lumen area
• Positive remodelling VH-TCFA
• Fibrous cap
thickness
• Collagen content
• Macrophages
• Neovessels
• Plaque rupture
• Thrombus
• Can detect plaque
erosion
Fibrous cap thickness
(<65μm)
Flush required as blood
• attenuates light
• Limited penetration depth to image deeper plaque, estimate necrotic core size, positive remodelling
Poor discrimination
between calcied areas and lipid core
63
Due to its spatial resolution of 10–30μm, OCT is unable to image individual cells and subcellular processes implicated in atherosclerosis and coronary events (Table3.3). μOCT is a further development from the standard OCT with a signi­cantly superior resolution of 1-μm. μOCT has shown potential to visualize pro­cesses including leukocyte adhesion and diapedesis, clot morphologies, cholesterol crystals, microcalcications, brin strand formation, ECM production, and quantify macrophage distribution [94, 99, 100]. Visualising these subcellular processes invivo may help provide a new level of insight to characterize and identify vulner­able plaques (Table3.4).
3.8.3 Intravascular Molecular Imaging
Intravascular near-infrared uorescence (NIRF) involves the use of targeted molec­ular contrast agents to highlight via uorescence certain processes implicated in plaque rupture. The advantage of near-infrared light includes lower attenuation of light rays through blood and lower autouorescence [101]. Studies in this arena have included using indocyanine green to highlight endothelial abnormalities [101], and mapping arterial inammation with the use of a contrast agent that highlights the inammation regulated cysteine protease [102]. However, many of the con­trast agents used in NIRF have not been approved for use in humans. Alternatively, near- infrared autouorescence (NIRAF) can detect uorescence from naturally
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occurring molecules, negating the need for contrast agents. NIRAF has been safely used in humans. Promisingly, a signicantly higher maximum NIRAF signal was associated with vulnerable plaques including OCT-delineated TCFA and plaque rupture cases [103]. However, further studies are needed to understand the molecu­lar sources of NIRAF and its clinical signicance.
3.9 Conclusion: Vulnerable Plaques andVulnerable Patients
Post-mortem studies and subsequent imaging studies have clearly demonstrated the association of acute cardiovascular events with certain forms of plaque disruption [33, 95]. In approximately two thirds of all cases, plaque characteristics were asso­ciated with thin-capped atheroma along with a large necrotic core, suggesting the preceding destabilization. Plaque erosion accounts for the most of the of remaining events, but is less well understood, but can be imaged using OCT.Many attempts so far have been made to diagnose and predict events based on plaque characteristics that could be associated with a high-risk plaque. Nevertheless, this has been less successful than hoped, illustrated by the relatively disappointing results of the PROSPECT trial [104].
It seems evident that at least another decade of research is needed to develop bet­ter tools to assess high-risk plaques in coronary, carotid and peripheral arterial dis­ease. In the meanwhile, another important realisation is that many chronic diseases, including atherosclerotic disease, are helped by taking a more holistic systems­based approach. This involves detecting the patient at high risk of cardiovascular events by taking into account variables based on blood biomarkers and myocardial vulnerability, in addition to the vulnerable plaque [33].
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Further Reading
Bennett MR, Evan GI, Schwartz SM.Apoptosis of human vascular smooth muscle cells derived
from normal vessels and coronary atherosclerotic plaques. J Clin Invest. 1995;95:2266–74. Burke AP, Farb A, Malcom GT, Liang YH, Smialek J, Virmani R.Coronary risk factors and plaque
morphology in men with coronary disease who died suddenly. N Engl J Med. 1997;336:1276–82. Camici PG, Rimoldi OE, Gaemperli O, Libby P.Non-invasive anatomic and functional imaging of
vascular inammation and unstable plaque. Eur Heart J. 2012;33:1309–17. Gonzalo N, Garcia-Garcia HM, Regar E, Barlis P, Wentzel J, Onuma Y, etal. In vivo assessment of
high-risk coronary plaques at bifurcations with combined intravascular ultrasound and optical
coherence tomography. JACC Cardiovasc Imaging. 2009;2:473–82. Marnane M, Merwick A, Sheehan OC, Hannon N, Foran P, Grant T, etal. Carotid plaque inam-
mation on 18F-uorodeoxyglucose positron emission tomography predicts early stroke recur-
rence. Ann Neurol. 2012;71:709–18. Stone GW, Maehara A, Lansky AJ, de Bruyne B, Cristea E, Mintz GS, etal. A prospective natural-
history study of coronary atherosclerosis. N Engl J Med. 2011;364:226–35. Takaya N, Yuan C, Chu B, Saam T, Underhill H, Cai J, etal. Association between carotid plaque
characteristics and subsequent ischaemic cerebrovascular events: a prospective assessment
with MRI--initial results. Stroke. 2006;37:818–23.